Measures and alternating multilinear forms

  • Context: Graduate 
  • Thread starter Thread starter mma
  • Start date Start date
  • Tags Tags
    Forms
Click For Summary

Discussion Overview

The discussion revolves around the relationship between measures and alternating multilinear forms in the context of vector spaces. Participants explore how measures can be defined independently of alternating forms and what conditions a measure must satisfy to be derived from such forms. The conversation also touches on the natural introduction of area and volume concepts without relying on norms or scalar products.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions the conditions under which a measure can originate from an alternating multilinear form, drawing an analogy to norms derived from symmetric bilinear forms.
  • Another participant suggests that area can be defined based solely on the linear structure of a vector space, independent of norms or angles.
  • Some participants propose the Haar measure as a potential solution for defining measures in a translation-invariant manner.
  • There is a discussion about the regularity conditions required for measures and their implications for determining area or volume functions.
  • A participant outlines a proof involving translation-invariant measures and the concept of n-parallelepipeds, suggesting that the ratio of measures can be shown to be constant under certain conditions.
  • Another participant emphasizes that only finite and nonzero measures on bounded open sets are necessary for the proof, introducing a mathematical formulation to support their argument.
  • There is a mention of a "swap-in-place trick" from computer science, which one participant finds interesting in the context of the discussion.
  • Further clarification is sought regarding the need for mirroring invariance in the context of the derived relationships between measures.
  • One participant acknowledges a previous misunderstanding and expresses gratitude for the clarification provided by others.

Areas of Agreement / Disagreement

Participants express multiple competing views regarding the conditions necessary for measures to be derived from alternating forms, as well as the implications of regularity conditions. The discussion remains unresolved on some aspects, particularly concerning the introduction of area and volume without norms.

Contextual Notes

Limitations include the dependence on specific definitions of measures and the unresolved nature of certain mathematical steps related to mirroring invariance and the conditions for proportionality between measures.

mma
Messages
270
Reaction score
5
On an n-dimensional vector space an alternating n-form defines a measure. However a measure can be defined on its own right, without mentioning any alternating form. My question is that what condition must a measure satsfy that it can be originated from an alternating multilinear form. I mean an analogue that of a norm can be originated from a symmetric bilinear form if and only if it satisfies the parallelogram identity.
 
Physics news on Phys.org
I put the question the other way around.

We learn in the school that the area of a polygon is determined by the length of its edges and its shape, i.e. the angles between the edges. Length and angles are determinded by the scalar product. So we learn the notion of area based on the scalar product.

However, area (or at least the ratio of areas) is determined solely by the linear structure of the vector space.

My question is now, how coul'd we introduce in a natural way the notion or area (or volume, etc.) without using the notion of norm or angles or scalar product ?

Of course, the emphasis is on the word natural, because otherwise we could simply say that area is an alternating bilinear form.
 
Do you mean that we regard our vector space as the group of translations, and we apply the existence and uniquiness of the Haar-measure on this group?

This is interesting. The requirement of the translation invariance alone determines the area or volume function up to multiplication by a positive constant?
 
That's what it looks like.

Oh, and don't forget the regularity conditions! Although (except for the finiteness condition) I don't know what can go badly if you omit them.
 
Hurkyl said:
That's what it looks like.

Oh, and don't forget the regularity conditions!

Yes, of course. These are the "natural" features of a measure, independently of any group or vector space strucrure. And if we add the translation invariance, then the ratio of the areas of two parallelograms is determined unambiguously. Super! Could you show a relatively simple proof for this?
 
It depends on what you mean by simple! I haven't pushed it through to completion, but my best lead on a 'simple' proof would be to pick a basis, which thus let's you define a notion of an n-parallelepiped. If you have two translation-invariant, regular measures, then I believe you can show that for any n-parallelepiped whose faces are parallel to the fundamental one, the ratio of the measures is a fixed constant. I presume you can push that through to show their ratio on any measurable set is a fixed constant.
 
the only regularity assumption you need is that the measure is finite and nonzero on a given bounded and and nonempty open set. Or, just sigma-finite is enough.

For the proof, suppose \mu and \nu[/tex] are two such measures.<br /> <br /> &lt;br /&gt; \begin{align*}&lt;br /&gt; \mu(A)\nu(B) &amp;amp;= \int\int 1_{\{x\in A,y\in B\}}d\mu(x)d\nu(y)\\&lt;br /&gt; &amp;amp;= \int\int 1_{\{x-y\in A,y\in B\}}d\mu(x)d\nu(y)\ \ (x \rightarrow x - y)\\&lt;br /&gt; &amp;amp;= \int\int 1_{\{-y\in A,y+x\in B\}}d\nu(y)d\mu(x)\ \ (y\rightarrow y + x)\\&lt;br /&gt; &amp;amp;= \int\int 1_{\{-y\in A,x\in B\}}d\mu(x)d\nu(y)\ \ (x\rightarrow x-y)\\&lt;br /&gt; &amp;amp;= \nu(-A)\mu(B)&lt;br /&gt; \end{align*}&lt;br /&gt;<br /> <br /> so,<br /> &lt;br /&gt; \mu(B)/\nu(B) = \mu(A)/\nu(-A)&lt;br /&gt;<br /> is independent of the set B chosen, and \mu is proportional to \nu.
 
Last edited:
Ha! That's (roughly) the swap-in-place trick from computer lore. It's really neat to see it useful elsewhere!
 
  • #10
Very tricky! But we arrived to \mu(B)/\nu(B) = \mu(A)/\nu(-A) and not to \mu(B)/\nu(B) = \mu(A)/\nu(A). So we need additionally suppose the \nu(A)=\nu(-A) mirroring invariance too. Or can this also be proved from our original conditions?
 
  • #11
Fix any set A with \nu(-A)\not=0 and set \lambda=\mu(A)/\nu(-A). Then, my proof showed that \mu(B)=\lambda\nu(B) for every set B, so \mu,\nu are proportional.

So, no you don't need to assume `mirror invariance', but you can prove it with a couple of extra lines (try putting \mu=\nu,A=B into my equation).
 
Last edited:
  • #12
Yes, it was evident, sorry for the stupid question.
Thank you Gel and Hurkyl!
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K